A multifactor approach to forecasting Romanian gross domestic product (GDP) in the short run.

ABSTRACT: The purpose of this paper is to investigate the application of a generalized dynamic factor model (GDFM) based on dynamic principal components analysis to forecasting short-term economic growth in Romania. We have used a generalized principal components approach to estimate a dynamic model based on a dataset comprising 86 economic and non-economic variables that are linked to economic output. The model exploits the dynamic correlations between these variables and uses three common components that account for roughly 72% of the information contained in the original space. We show that it is possible to generate reliable forecasts of quarterly real gross domestic product (GDP) using just the common components while also assessing the contribution of the individual variables to the dynamics o

SUBMITTER: Armeanu D 

PROVIDER: S-EPMC5524352 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature